Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection
arXiv:2603.23766v2 Announce Type: replace
Abstract: Unsupervised medical anomaly detection is severely limited by the scarcity of normal training samples. Existing methods typically train dedicated models for each dataset or disease, requiring hundred…